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8th International Conference on Energy system, Electricity, and Power, ESEP 2023

作者： Zhuang, Xin Gao, Qiang Xu, Zhao Chen, Jiaqi Zhang, Zhengyang Liu, Junjie College of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Complex System Control Theory and Applications Tianjin300384 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

The Rural Hybrid Renewable Energy system (RHRES) holds great significance as a prospective energy system development. Ensuring its economic viability and low-carbon operation is crucial in order to fully harness its potential. Consequently, this research paper presents a multi-party cooperation operation model for RHRES, based on the Nash bargaining theory. To effectively differentiate between the various parties involved in carbon trading and guarantee the system's low-carbon operation, a ladder-type multi-party carbon trading model is formulated. The proposed RHRES cooperation operation model, grounded in Nash bargaining, is approached in two steps: determining the transaction volume between parties and resolving the transaction price through the concept of equivalent transformation. To address concerns regarding party privacy, the alternating direction multiplier method is employed for solution. The numerical findings demonstrate that the suggested cooperation operation model substantially reduces RHRES operating costs and carbon emissions, while enhancing the utilization of wind and solar power. Consequently, this model holds significant practical and promotional value. © 2024 SPIE.

关键词： Solar energy

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Path Tracking Motion control Method Of Tracked Robot Based On Improved LQR control 41

Path Tracking Motion Control Method Of Tracked Robot Based O...

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第41届中国控制会议

作者： Jianyun Ni Yong Wang Hao Li Helei Du Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems School of Electronic Engineering and Automation Tianjin University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In order to enhance the trajectory tracking control performance of tracked mobile robot,an improved LQR lateral motion control method is ***,the robot tracking error kinematics model is constructed by using Lagrange function method,and the linear quadratic regulator controller(LQR) and feedforward controller of the tracked mobile robot are ***,the parameters of LQR controller are analyzed,the Q and R weight coefficient matrix of LQR controller is optimized,and the fast rolling optimization algorithm of lateral tracking control based on path tracking error is *** this way,the improvement of the LQR controller is realized,and the adaptability and control accuracy of the controller and the dynamic performance of the system are ***,test the designed controller through Matlab/Simulink *** simulation results show that the improved LQR controller can track the target path well,and can control the distance deviation and heading deviation in a small range.

关键词： Tracked Mobile Robot LQR Path Tracking Motion control

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Extended State Observer-Backstepping control for Grid-Tied PV system 37th

Extended State Observer-Backstepping Control for Grid-Tied P...

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37th Annual Conference on Power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Xu, Zhao Ji, Yuehui Liu, Junjie The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Industry Systems Tianjin300384 China

ISBN: (纸本)9789819914388

As a distributed energy source, the photovoltaic system will affect the stability of the power grid in the grid connected operation mode. To meliorate the control effect of the inverter and the power quality of the grid connected photovoltaic microgrid, a control strategy based on the backstepping method is designed for the grid connected inverter of the photovoltaic system. Firstly, the dynamic model of the photovoltaic system is given, and the unmodeled parts are appended. Secondly, on the basis of backstepping method, the unmodeled amount is compensated by extended state observer, and an arbitrary-order fixed-time differentiator is employed to solve the "computational complexity" problem. Finally, the stability of the system is proved by the Lyapunov theory. The simulation results verify the advanced property of the proposed controller. © 2023, State Grid Electric Power.

关键词： Power quality

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Simulation of Triboelectric Nanogenerator Output Characteristics of Different Resistance Loads 25

Simulation of Triboelectric Nanogenerator Output Characteris...

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25th IEEE China Conference on system Simulation Technology and its Application, CCSSTA 2024

作者： Xu, Liang Zhang, Xiuzhe Du, Xiuke Yue, Xiaolong Zhao, Xiande Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin China Beijing Academy of Agriculture and Forestry Sciences Key Laboratory of Agricultural Sensors Ministry of Agriculture Rural Affairs Research Center of Intelligent Equipment Beijing China

ISBN: (纸本)9798350366600

With the increasing demand for green energy, triboelectric nanogenerators (TENG) have the potential to harvest energy from the environment in a small size range to power microelectronic devices. Still, its performance is affected by impedance matching problems. In this study, the effect of impedance matching on the performance of the TENG was investigated. The generator output power is simulated by Simulink software, and the theoretical usability of TENG was demonstrated by driving the load. Firstly, a mathematical model of the TENG was developed to consider its operating principle, and the transferred charge and voltage-current output under different impedance conditions were simulated. Then, the effect of impedance matching on the output of the TENG on its generator was analyzed by adjusting the impedance of the TENG with the external circuit. The results show that by adjusting the impedance value, the generator can be made to work in a more efficient operating region, which helps to promote the development of TENG technology. © 2024 IEEE.

关键词： Triboelectricity

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RepColor: deep coloring algorithm combining semantic categories

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Optoelectronics Letters 2025年

作者： Lei Sun Dongjie Ju School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Complicated Industry Systems， Tianjin University of Technology

Image coloring is an inherently uncertain and multimodal problem. By inputting a grayscale image into a coloring network， visually plausible colored photos can be generated. Conventional methods primarily rely on semantic information for image colorization. Although effective in coloring images with clear semantic information， these methods still suffer from color contamination and semantic confusion. This is largely due to the limited capacity of convolutional neural networks to effectively learn deep semantic information inherent in *** this paper， we propose a network structure that addresses these limitations by leveraging multi-level semantic information classification and fusion. Additionally， we introduce a global semantic fusion network to combat the issues of color contamination. The proposed coloring encoder accurately extracts object-level semantic information from *** further enhance visual plausibility， we employ a self-supervised adversarial training method. We train the network structure on various datasets with varying amounts of data and evaluate its performance using the ImageNet validation set and COCO validation set. Experimental results demonstrate that our proposed RepColor can generate more realistic images compared to previous approaches， showcasing its high generalization ability.

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Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics 8

Master-slave game-based optimal operation of microgrids cont...

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8th International Conference on Energy system, Electricity, and Power, ESEP 2023

作者： Liu, Xinyue Ji, Yuehui Shi, Shaobo Liu, Junjie Gao, Qiang Xu, Zhao Tianjin Key Laboratory of Complex System Control Theory and Application TJ 300384 China School of Electrical Engineering and Automation Tianjin University of Technology TJ 300384 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

Due to the dispersed and disorderly feathers of distributed photovoltaic (PV) power generation on the user side, the difficulties of the low-carbon transformation of the power grid and sustainable development of large-scale distributed PV power generation is increased. Based on a master-slave game, this article proposes an optimizing scheme for the operation of microgrids, where the users built PV and shared energy storages. Firstly, this paper introduces the operational framework of the system and the functions of micro-network operator (MNO) and load aggregator (LA). The optimization operation models for MNO and LA are modelled in the framework of Stackelberg master-slave game. The game relationship between MNO and LA is analyzed. Yalmip tool with the CPLEX solver are introduced to solve the differential evolution algorithm. Final, the effectiveness of the proposed method is verified in numerical examples. © 2024 SPIE.

关键词： Energy storage

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Multi-Feature Fusion Transformer for Natural Language Inference 5

Multi-Feature Fusion Transformer for Natural Language Infere...

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5th International Conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2023

作者： Sun, Lei Li, Xiangyang Yan, Hengxin School of Electrical Engineering and Automation Tianjin University of Technology Tianj in Key Laboratory for Control Theory and Complicated Industry Systems Tianjin China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350357950

Natural Language Inference (NLI) is a branch of Natural Language Processing (NLP) whose main task is to determine the relationship between two sentences. Such tasks essentially use pre-trained models to ensure accuracy, and many applications are found in human-computer dialog and question-answering systems. However, in some cases where small devices are deployed offline, lightweight model implementations are often required to save computational resources. To address this problem and ensure more efficient inference capabilities, this paper describes how to improve the preexisting Transformer and proposes a Multi-Feature Fusion Transformer Network for NLI processing. The model integrates sequence features and introduces a priori information to enhance local features. It also achieves a comprehensive fusion of sequence information, local features, and non-local features, thus compensating for many potential shortcomings of Transformer. At the same time, it maintains the lightweight feature of the model and facilitates the implementation of downstream tasks. We verified the above point by experiments, our model has better inference performance compared to previous models used for the same task. The accuracy in the SNLI dataset reached 89.0%, while the matched and mismatched versions of MultiNLI reached 79.3% and 78.7%. © 2023 IEEE.

关键词： Feature Fusion Natural language inference Natural language processing Transformer

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Hyperbolic cosine transformer for LiDAR 3D object detection

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Optoelectronics Letters 2025年

作者： Tong Jigang Yang Fanhang Yang Sen Du Shengzhi Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory， Tianjin University of Technology Department of Electrical Engineering， Tshwane University of Technology

Recently， Transformer has achieved great success in computer vision. However， it is constrained because the spatial and temporal complexity grows quadratically with the number of large points in 3D object detection applications from point clouds. Previous point-wise methods are suffering from time consumption and limited receptive fields to capture information among points. To address these limitations， we propose the cosh-attention， which reduces the computation complexity of space and time from the quadratic order to linear order with respect to the number of points. In the cosh-attention， the traditional softmax operator is replaced by non-negative ReLU activation and hyperbolic-cosine-based operator with re-weighting mechanism. Then based on the key component， cosh-attention， we present a two-stage hyperbolic cosine transformer (ChTR3D) for 3D object detection from point clouds. It refines proposals by applying cosh-attention in linear computation complexity to encode rich contextual relationships among points. Extensive experiments on the widely used KITTI dataset and Waymo Open Dataset demonstrate that， compared with vanilla attention， the cosh-attention significantly improves the inference speed with competitive performance. Experiment results show that， among two-stage state-of-the-art methods using point-level features to refine proposals， the proposed ChTR3D is the fastest one.

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An Improved Variable Window Detection Method for Exoskeleton Assistive Timing 20

An Improved Variable Window Detection Method for Exoskeleton...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Sun, Lei Lu, Rundong School of Electrical Engineering and Automation Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Complicated No. 391 Bin Shui Xi Dao Road Xiqing District Tianjin300384 China

ISBN: (纸本)9798350320831

The exoskeleton is usually assisted by the sensor detects the moment of assist, and the assist function generates the value of the assisted force according to the time and generates the corresponding force through the motor. Among them, the determination of the exoskeleton assistance moment plays an important role in the generation of a reasonable exoskeleton curve. To this end, this paper proposes an improved method based on the variable window for determining the assistance moment of exoskeleton. The method firstly improves the way of window sliding, secondly adjusts the way of window size selection, and finally experiments confirm that the method reduces the number of operations by 29%47% in different motion modes. © 2023 IEEE.

关键词： Timing circuits

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Differential Enhancement and Commonality Fusion for RGBT Tracking 20

Differential Enhancement and Commonality Fusion for RGBT Tra...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Yang, Jianrong Dong, Enzeng Tong, Jigang Yang, Sen Zhang, Zufeng Li, Wenyu Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Intelligent Robot Laboratory 391 Binshui West Road Tianjin China Nankai University College of Artificial Intelligence 94 Weijin Road Tianjin China

ISBN: (纸本)9798350320831

Target tracking is a fundamental task and an important part in the field of computer vision. The image information contained in the visible (RGB) modality and thermal infrared (T) modality has differences. RGBT tracking utilizes this difference to fuse the information of the two modalities, fully combining the uniqueness and complementarity of the information of the two modalities. How to maximize the uniqueness of individual modalities in RGBT tracking and how to effectively combine the complementarity of the two modalities is the key issue in RGBT tracking. For the combination of the uniqueness and complementarity of the two modalities, a novel Differential Enhancement and Commonality Fusion Network (DECFNet) is designed in this paper, in which the main components include a feature enhancement module for the visible modality and a feature enhancement module for the thermal infrared modality, as well as a fusion module that effectively fuses the information of both. The results on three RGB T tracking benchmark datasets demonstrate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Target tracking

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